API tools faq
paste
Arilnilhaq12

TVM5

Arilnilhaq12
Jul 5th, 2025 (edited)
15
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 9.67 KB | None | 0 0
raw download clone embed print report
  1. # File: signal_strategy_tv_mt5.py
  2. import MetaTrader5 as mt5
  3. import pandas as pd
  4. from tradingview_scraper.symbols.technicals import Indicators
  5. import mplfinance as mpf
  6. import matplotlib.pyplot as plt
  7. from matplotlib.patches import Rectangle
  8.  
  9. # === Kelas Deteksi Sinyal ===
  10. class SignalStrategyTvMt5:
  11. def __init__(self, symbol="BTCUSD", timeframe=mt5.TIMEFRAME_D1, bars=100):
  12. self.symbol = symbol
  13. self.timeframe = timeframe
  14. self.bars = bars
  15. self.df = None
  16. self.signal_df = None
  17.  
  18. def connect_mt5(self):
  19. if not mt5.initialize():
  20. raise Exception("MT5 gagal di-inisialisasi")
  21. print("[✓] MT5 connected")
  22.  
  23. def shutdown_mt5(self):
  24. mt5.shutdown()
  25. print("[✓] MT5 shutdown selesai")
  26.  
  27. def deteksi_ob(self, indikator):
  28. rsi = indikator.get("RSI", 0)
  29. stoch_k = indikator.get("Stoch.K", 0)
  30. if rsi > 70:
  31. return "OB - RSI"
  32. elif stoch_k > 80:
  33. return "OB - Stoch"
  34. return "Normal"
  35.  
  36. def deteksi_fvg(self, df):
  37. result = {}
  38. for i in range(2, len(df)):
  39. t = df['time'].iloc[i]
  40. if df['low'].iloc[i] > df['high'].iloc[i - 2]:
  41. result[t] = "Bullish FVG"
  42. elif df['high'].iloc[i] < df['low'].iloc[i - 2]:
  43. result[t] = "Bearish FVG"
  44. else:
  45. result[t] = ""
  46. return result
  47.  
  48. def deteksi_bos(self, df, period=5):
  49. result = {}
  50. for i in range(period, len(df) - period):
  51. t = df['time'].iloc[i]
  52. swing_high = max(df['high'].iloc[i - period:i])
  53. swing_low = min(df['low'].iloc[i - period:i])
  54. if df['close'].iloc[i] > swing_high:
  55. result[t] = "BOS Bullish"
  56. elif df['close'].iloc[i] < swing_low:
  57. result[t] = "BOS Bearish"
  58. else:
  59. result[t] = ""
  60. return result
  61.  
  62. def deteksi_choch(self, df, period=5):
  63. result = {}
  64. for i in range(period + 1, len(df)):
  65. t = df['time'].iloc[i]
  66. prev_high = max(df['high'].iloc[i - period - 1:i - 1])
  67. prev_low = min(df['low'].iloc[i - period - 1:i - 1])
  68. curr = df['close'].iloc[i]
  69. prev = df['close'].iloc[i - 1]
  70. if prev > prev_high and curr < prev_low:
  71. result[t] = "CHoCH Bearish"
  72. elif prev < prev_low and curr > prev_high:
  73. result[t] = "CHoCH Bullish"
  74. else:
  75. result[t] = ""
  76. return result
  77.  
  78. def deteksi_engulfing(self, df):
  79. result = {}
  80. for i in range(1, len(df)):
  81. prev_open = df['open'].iloc[i - 1]
  82. prev_close = df['close'].iloc[i - 1]
  83. curr_open = df['open'].iloc[i]
  84. curr_close = df['close'].iloc[i]
  85.  
  86. if prev_close < prev_open and curr_close > curr_open and curr_close > prev_open and curr_open < prev_close:
  87. result[df['time'].iloc[i]] = "Bullish Engulfing"
  88. elif prev_close > prev_open and curr_close < curr_open and curr_close < prev_open and curr_open > prev_close:
  89. result[df['time'].iloc[i]] = "Bearish Engulfing"
  90. else:
  91. result[df['time'].iloc[i]] = ""
  92. return result
  93.  
  94. def konfirmasi_sinyal_buy_sell(self, df, signal_df):
  95. result = {}
  96. for i in range(2, len(signal_df)):
  97. row = signal_df.iloc[i]
  98. t = row['time']
  99. fvg = row['FVG']
  100. ob = row['OB']
  101. bos = row['BOS']
  102. choch = row['CHoCH']
  103. engulf = row.get('ENGULFING', "")
  104. harga = df['close'].iloc[i]
  105.  
  106. arah = None
  107. if "Bullish" in fvg and "Bullish" in engulf and ("Bullish" in bos or "Bullish" in choch):
  108. arah = "BUY"
  109. elif "Bearish" in fvg and "Bearish" in engulf and ("Bearish" in bos or "Bearish" in choch):
  110. arah = "SELL"
  111.  
  112. if arah == "BUY":
  113. high_fvg = df['high'].iloc[i - 2]
  114. low_fvg = df['low'].iloc[i]
  115. fibo_0618 = low_fvg + (high_fvg - low_fvg) * 0.618
  116. if harga > fibo_0618 and harga < high_fvg:
  117. result[t] = f"Konfirmasi {arah} dengan SL TP 1:2"
  118. else:
  119. result[t] = ""
  120. elif arah == "SELL":
  121. low_fvg = df['low'].iloc[i - 2]
  122. high_fvg = df['high'].iloc[i]
  123. fibo_0618 = low_fvg + (high_fvg - low_fvg) * 0.618
  124. if harga < fibo_0618 and harga > low_fvg:
  125. result[t] = f"Konfirmasi {arah} dengan SL TP 1:2"
  126. else:
  127. result[t] = ""
  128. else:
  129. result[t] = ""
  130. return result
  131.  
  132. def get_data(self):
  133. self.connect_mt5()
  134. data = mt5.copy_rates_from_pos(self.symbol, self.timeframe, 0, self.bars)
  135. if data is None:
  136. raise Exception("Gagal ambil data dari MT5")
  137.  
  138. df = pd.DataFrame(data)
  139. df['time'] = pd.to_datetime(df['time'], unit='s')
  140. self.df = df
  141.  
  142. indikator = Indicators().scrape(
  143. exchange="BINANCE",
  144. symbol=self.symbol,
  145. timeframe="1d",
  146. indicators=["RSI", "Stoch.K"]
  147. )
  148.  
  149. ob_status = self.deteksi_ob(indikator)
  150. fvg = self.deteksi_fvg(df)
  151. bos = self.deteksi_bos(df)
  152. choch = self.deteksi_choch(df)
  153. engulfing = self.deteksi_engulfing(df)
  154.  
  155. signal_df = pd.DataFrame({
  156. 'time': df['time'],
  157. 'OB': [ob_status] * len(df),
  158. 'FVG': df['time'].map(fvg),
  159. 'BOS': df['time'].map(bos),
  160. 'CHoCH': df['time'].map(choch),
  161. 'ENGULFING': df['time'].map(engulfing),
  162. })
  163.  
  164. konfirmasi = self.konfirmasi_sinyal_buy_sell(df, signal_df)
  165. signal_df['KONFIRMASI'] = df['time'].map(konfirmasi)
  166.  
  167. self.shutdown_mt5()
  168. self.signal_df = signal_df
  169. return df, signal_df
  170.  
  171. # === Kelas Console & Visual ===
  172. class ShowConsoleSignal:
  173. def __init__(self):
  174. self.strategy = SignalStrategyTvMt5()
  175. self.df = None
  176. self.sinyal = None
  177.  
  178. def run(self):
  179. print("📊 === ALGO SIGNAL CONSOLE ===")
  180. try:
  181. self.df, self.sinyal = self.strategy.get_data()
  182. except Exception as e:
  183. print(f"[!] ERROR: {e}")
  184. return
  185.  
  186. while True:
  187. print("\nPilih menu:")
  188. print("[1] Lihat OHLC MT5 terakhir")
  189. print("[2] Lihat sinyal terakhir")
  190. print("[3] Tampilkan grafik sinyal (mplfinance)")
  191. print("[4] Keluar")
  192.  
  193. pilihan = input(">> Pilih [1-4]: ").strip()
  194.  
  195. if pilihan == "1":
  196. print(self.df.tail())
  197. elif pilihan == "2":
  198. print(self.sinyal.tail())
  199. elif pilihan == "3":
  200. self.mplft()
  201. elif pilihan == "4":
  202. break
  203. else:
  204. print("Pilihan tidak valid.")
  205.  
  206. def mplft(self):
  207. if self.df is None or self.sinyal is None:
  208. print("[!] Data belum tersedia.")
  209. return
  210.  
  211. df_plot = self.df.copy()
  212. df_plot.set_index('time', inplace=True)
  213. df_plot = df_plot[['open', 'high', 'low', 'close']]
  214.  
  215. fig, axlist = mpf.plot(
  216. df_plot,
  217. type='candle',
  218. style='yahoo',
  219. title='Sinyal Deteksi (OB, FVG, BOS, CHoCH, ENGULFING)',
  220. ylabel='Harga',
  221. volume=False,
  222. returnfig=True
  223. )
  224. ax = axlist[0]
  225.  
  226. for i in range(2, len(self.df)):
  227. row = self.sinyal.iloc[i]
  228. time = self.df['time'].iloc[i]
  229. close = self.df['close'].iloc[i]
  230.  
  231. if isinstance(row['KONFIRMASI'], str) and row['KONFIRMASI'] != "":
  232. arah = "BUY" if "BUY" in row['KONFIRMASI'] else "SELL"
  233. if arah == "BUY":
  234. high_fvg = self.df['high'].iloc[i - 2]
  235. low_fvg = self.df['low'].iloc[i]
  236. fibo_0 = high_fvg
  237. fibo_1 = low_fvg
  238. fibo_0618 = fibo_1 + (fibo_0 - fibo_1) * 0.618
  239. sl = fibo_1
  240. tp = fibo_0618 + (fibo_0618 - sl) * 2
  241. ax.text(time, close * 0.99, "BUY", color='green', fontsize=8, ha='center', va='top')
  242. else:
  243. low_fvg = self.df['low'].iloc[i - 2]
  244. high_fvg = self.df['high'].iloc[i]
  245. fibo_0 = low_fvg
  246. fibo_1 = high_fvg
  247. fibo_0618 = fibo_0 + (fibo_1 - fibo_0) * 0.618
  248. sl = fibo_1
  249. tp = fibo_0618 - (sl - fibo_0618) * 2
  250. ax.text(time, close * 1.01, "SELL", color='white', fontsize=8, ha='center', va='bottom')
  251.  
  252. ax.axhline(fibo_0, color='gray', linestyle='--', linewidth=0.8)
  253. ax.axhline(fibo_0618, color='blue', linestyle='--', linewidth=1.2)
  254. ax.axhline(fibo_1, color='gray', linestyle='--', linewidth=0.8)
  255.  
  256. box_color = 'green' if arah == 'BUY' else 'red'
  257. y_bottom = min(sl, tp)
  258. y_top = max(sl, tp)
  259. height = y_top - y_bottom
  260. rect = Rectangle((time, y_bottom), pd.Timedelta(days=0.5), height, color=box_color, alpha=0.2)
  261. ax.add_patch(rect)
  262.  
  263. plt.tight_layout()
  264. plt.show()
  265.  
  266. # === Entry Point ===
  267. if __name__ == "__main__":
  268. ShowConsoleSignal().run()
  269.  
Advertisement
Add Comment
Please, Sign In to add comment
Public Pastes
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!